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Creative Destruction Cycles: Schumpeterian Growth in an Estimated DSGE Model

Listed author(s):
  • Marco Luca Pinchetti

In this paper I incorporate a Schumpeterian mechanism of creative destruction in a standard DSGE framework. In the model, a sector of forward-looking profit maximizing innovators determines the economy’s TFP growth rate. I estimate the model with Bayesian methods, and show that models featuring an endogenous TFP channel can empirically outperform models that exhibit standard, exogenous productivity dynamics. The paper provides a comprehensive comparative assessment of the impact of the endogenous TFP channel in an estimated fully-fledged DSGE model. The variance decomposition analysis shows that endogenous TFP is a powerful channel of transmission of adverse shocks throughout the business cycle. The estimates suggest that the 35% of the productivity growth rate fluctuations had endogenous origins during the Great Recession.

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File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/250791/3/2017-04-PINCHETTI-creative.pdf
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Paper provided by ULB -- Universite Libre de Bruxelles in its series Working Papers ECARES with number ECARES 2017-04.

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Length: 25 p.
Date of creation: Feb 2017
Publication status: Published by:
Handle: RePEc:eca:wpaper:2013/250791
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  1. Luca Fornaro & Gianluca Benigno, 2015. "Stagnation Traps," 2015 Meeting Papers 810, Society for Economic Dynamics.
  2. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
  3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
  4. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  5. Pablo A. Guerron-Quintana & Ryo Jinnai, "undated". "Liquidity, Trends and the Great Recession," Working Papers e66, Tokyo Center for Economic Research.
  6. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
  7. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, 03.
  8. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
  9. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
  10. Cozzi, Guido & Pataracchia, Beatrice & Ratto, Marco & Pfeiffer, Philipp, 2017. "How much Keynes and how much Schumpeter? An Estimated Macromodel of the US Economy," MPRA Paper 77771, University Library of Munich, Germany.
  11. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
  12. Diego Anzoategui & Diego Comin & Mark Gertler & Joseba Martinez, 2016. "Endogenous Technology Adoption and R&D as Sources of Business Cycle Persistence," NBER Working Papers 22005, National Bureau of Economic Research, Inc.
  13. Robert E. Hall, 2014. "Quantifying the Lasting Harm to the U.S. Economy from the Financial Crisis," NBER Chapters,in: NBER Macroeconomics Annual 2014, Volume 29, pages 71-128 National Bureau of Economic Research, Inc.
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